kh5gn_flink-cluster_flink-job-manager-bf525d2c5de239b0a369946e6fb213d33bc1e9a63cd1aed7cb21f25107fc0d57.log", "message":"no patterns matched
zip -r -y test.zip test/ Jetbrains全家桶1年46，售后保障稳定 参考：“zip warning: name not matched” while compressing
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- -------------------- 1000 BB_NOT_MATCHED 100 BBB_NOT_MATCHED 我们已经插入了两条值，这个时候来尝试一下，update THEN UPDATE SET t.NAME='AAA_MATCHED' where ID= 1000 WHEN NOT MATCHED THEN INSERT(ID, NAME ---------------- 1000 AAA_MATCHED 100 BBB_NOT_MATCHED 手工把数据改回来，继续测试。 THEN UPDATE SET t.NAME='AAA_MATCHED' where ID= 1000 WHEN NOT MATCHED THEN INSERT(ID, NAME) VALUES 100 BBB_NOT_MATCHED 2000 BBB_NOT_MATCHED 这个时候问题来了，insert可以了，但是update有问题了。
的 matched, ok := numToLetter[string(left[0])] if ! matched)] + matched[i%len(matched)] } return matchNext(next, left[1:]) } 减少内存空间 从运行结果来看： 执行用时：0 ms matched { next[i] = string(matched[i]) } return matchNext(next, left[1:]) } next := make([] string, len(current)*len(matched)) for i := range next { // 利用位操作加速 next[i] = current[i/len(matched )] + string(matched[i%len(matched)]) } return matchNext(next, left[1:]) } 进阶：引入函数式编程 func letterCombinations
== "/") pathmap[$1 "/"] = $(NF) else pathmap[$1 "/"] = $(NF) "/" } close(DF) pathmap["C:/"] = "/c/" matched_path $/) input_path = input_path "/" for (pathitem in pathmap){ #如果匹配到input_path以pathitem开头并且pathitem长度大于matched_path 时 if ((input_path ~ "^" pathitem) && (length(pathitem)>length(matched_path))){ matched_path = pathitem } } #替换input_path中第一个matched_path为pathmap[matched_path] sub("^" matched_path, pathmap[matched_path],
REPORT ============================ Positive matches: ----------------- AopAutoConfiguration matched : - @ConditionalOnProperty (spring.aop.auto=true) matched (OnPropertyCondition) AopAutoConfiguration.ClassProxyingConfiguration matched: - @ConditionalOnMissingClass did not find unwanted class 'org.aspectj.weaver.Advice' (OnClassCondition) - @ConditionalOnProperty (spring.aop.proxy-target-class=true) matched (OnPropertyCondition scope (OnWebApplicationCondition) DispatcherServletAutoConfiguration.DispatcherServletConfiguration matched
比如当前路径是：/foo/bar,那么matched匹配的就是 ['/','/foo','/foo/bar'] getBreadcrumb: () => { // 过滤 currentRoute.matched 数组里面有meta.title的item let matched = currentRoute.matched.filter((item) => item.meta && item.meta.title ) const frist = matched[0] //如果第一个不是首页，添加上 if (! state.isDashboard(frist)) { matched = [{ path: '/dashboard', meta: { title: 'dashboard' } } as any].concat(matched) } //过滤不符合要求的数组 state.breadcrumbs = matched.filter((item
$route.matched 假如数据结构 [ { path: "/home", name: "商业数据统计", component $route.matched; this.breadList = matched console.log(this.breadList) } } }; $route.matched // matched 里面的很多数据我们并不需要，放进去如果后面增加的数据键值对不一致会导致错误 matched = matched.map ((item)=>{ return {name:item.name} }) console.log(matched) this. $route.matched获取的面包屑，同时把点击的id和名字组成一个对象存入vuex中 2、进入详情页通过 this.
INTO schema . table t_alias USING schema . { table | view | subquery } t_alias ON (condition) WHEN MATCHED THEN merge_update_clause WHEN NOT MATCHED THEN merge_insert_clause; --好处：是执行 同时有插入和更新操作时效率最高的脚本 THEN UPDATE SET T1.NAME = T2.NAME WHEN NOT MATCHED THEN INSERT VALUES (T2.ID, T2.NAME); -- THEN UPDATE SET T1.ID = 521 WHEN NOT MATCHED THEN INSERT VALUES (T2.ID,T2.NAME); 这时候就会报ORA-30926 THEN UPDATE SET T1.NAME = T2.NAME WHEN NOT MATCHED THEN INSERT VALUES (T2.ID,T2.NAME); --PART2
regex, subject)if match: # match start: match.start() # match end (exclusive): atch.end() # matched match.group() do_something()else: do_anotherthing() 4.获取正则表达式所匹配的子串(Get the part of a string matched 获取捕获组所匹配的子串(Get the part of a string matched by a capturing group) regex=ur"" #正则表达式 match = re.search 获取有名组所匹配的子串(Get the part of a string matched by a named group) regex=ur"" #正则表达式 match = re.search(regex /\1>", subject) # match start: match.start() # match end (exclusive): atch.end() # matched
: shah_rukh_khan.jpg Not matched: warren_buffett.jpg Not matched: barack_obama.jpg Not matched: ray_dalio.jpg Not matched: bill_gates.jpg Not matched: jeff_bezos.jpg Not matched: mark_zuckerberg.jpg 显然，“新名人”是沙鲁克汗 Not matched: " + image 综合来看，我们用这些代码做到了： 在每个图像上循环 将图像编码为特征向量 将加载的图像与要识别的图像进行比较 如果人物一致，我们输出结果。 再次运行算法时，输出变成了这样： Not matched: shah_rukh_khan.jpg Not matched: warren_buffett.jpg Not matched: barack_obama.jpg Not matched: ray_dalio.jpg Not matched: bill_gates.jpg Not matched: jeff_bezos.jpg Not matched: mark_zuckerberg.jpg
homography = findHomography(Points(matched1), Points(matched2), RANSAC , ransac_thresh, inlier_mask); } if(matched1.size() < 4 || homography.empty()) { Mat [i]); inliers2.push_back(matched2[i]); inlier_matches.push_back(DMatch(new_i, 用RANSAC估计单应变换 homography = findHomography(Points(matched1), Points(matched2), 保存这个内点 for(unsigned i = 0; i < matched1.size(); i++) { if(inlier_mask.at<uchar>(i)) { int
的语法： MERGE INTO table [t.alias] USING {table | view | subquery} [t.alias] ON (condition) WHEN MATCHED THEN merge_updat_clause WHEN NOT MATCHED THEN merge_insert_clause; 注：USING后面必须包含要更新或插入的行 THEN UPDATE SET T2.MONEY=T1.MONEY+T2.MONEY WHEN NOT MATCHED THEN INSERT VALUES (T1.NAME,T1.MONEY MERGE INTO T2 USING T1 ON (T1.NAME=T2.NAME) WHEN MATCHED THEN UPDATE SET MERGE INTO T2 USING T1 ON (1=2) WHEN NOT MATCHED THEN INSERT VALUES (T1.
/ select * from @MergeTo merge into @MergeTo as t using @MergeFrom as f on t.a = f.a when matched /* matched: these record are in use, set not archived */ then update set t.archived = 0 when not matched /* record not matched in @MergeFrom: insert into @MergeFrom */ then insert values (f.a, 0) when not matched by source /*record not matched in @MergeFrom:*/ then delete; /* then update set …… when not matched then insert values( …… ) output 'AttributeDeterm
=CustomResourceDefinition Name: globalnetworksets.crd.projectcalico.org Namespace: Selector: map[][Matched Kind=CustomResourceDefinition Name: hostendpoints.crd.projectcalico.org Namespace: Selector: map[][Matched , Kind=CustomResourceDefinition Name: ipamconfigs.crd.projectcalico.org Namespace: Selector: map[][Matched , Kind=CustomResourceDefinition Name: ipamhandles.crd.projectcalico.org Namespace: Selector: map[][Matched Object]: GVK: /v1, Kind=Secret Name: influxdb Namespace: unique Selector: map[][Matched Rule]: Group
"matched $&: ",pos $txt,"\n"; 执行上述程序，将输出： matched 12: 2 matched 34: 4 matched 34: matched 1: 1 如果”g print "matched $&: ",pos $txt,"\n"; 执行上述程序，将输出： matched 12: 2 matched 34: 4 matched 34: 4 matched 5: : 2 matched 34: 4 matched 5: 7 matched 6: 8 可以指定\G，使得本次匹配强制从位移处进行匹配，不允许跳过任何匹配失败的字符。 12: 2 matched 34: 4 matched 34: matched 1: 1 如果将上面第三个匹配语句加上修饰符c，甚至后面的语句也都加上\G和c修饰符，那么位移指针将卡在那个位置： $ ，指针继续卡在原地 print "matched $&: ",pos $txt,"\n"; 以下是输出结果： matched 12: 2 matched 34: 4 matched 34: 4 matched
MAX_NUM 501 using namespace std; bool graph[MAX_NUM][MAX_NUM]; bool visited[MAX_NUM]; // 存放每个男生匹配的女生 int matched visited[boy] = true; // 假若该男生未被匹配 或者 该男生匹配的女生 能够可以更换其他男生 if (matched [boy] == 0 || matching(matched[boy]) == 1) { matched[boy] = girl; return scanf("%d%d", &girlNum, &boyNum); memset(graph, false, sizeof(graph)); memset(matched , 0, sizeof(matched)); for (int i = 0; i < k; i++) { scanf("%d%d", &girl, &boy);
路由对象 matched 属性 首先我们先来看看官方对 matched 的介绍。 matched：返回一个数组，包含当前路由的所有嵌套路径片段的路由记录 。 methods: { isHome(route) { return route.name === "home"; }, getBreadcrumb() { let matched $route.matched; //如果不是首页 if (! this.isHome(matched[0])) { matched = [{ path: "/home", meta: { title: "首页" } }].concat(matched ); } this.breadList = matched; } }, created() { this.getBreadcrumb(); } };
THEN UPDATE SET t.NAME='AAA_MATCHED' where ID= 100 WHEN NOT MATCHED THEN INSERT(ID, NAME) VALUES (100,'BBB_NOT_MATCHED') ; 1 row merged. UPDATE SET t.NAME='AAA_MATCHED' where ID= 1000 WHEN NOT MATCHED THEN INSERT(ID, NAME) VALUES(100 ,'BBB_NOT_MATCHED') ; 0 rows merged. THEN UPDATE SET t.NAME='AAA_MATCHED' where ID= 1000 WHEN NOT MATCHED THEN INSERT(ID, NAME) VALUES
then update set p.product_name = np.product_name when not matched then insert values(np.product_id 表示的用newproducts表来merge到products表，merge的匹配关系就是on后面的条件子句的内容，这里根据两个表的product_id来进行匹配，那么匹配上了我们的操作是就是when matched then update set p.product_name = np.product_name when not matched then insert values(np.product_id then update set p.product_name = np.product_name where np.product_name like ‘OL%’ when not matched then update set p.product_name = np.product_name when not matched then insert values(np.product_id
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